Build / deliver the ingestion and transformation of data pipelines and maintain optimal data pipeline processes.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Build analytics models that utilize the data pipeline to provide actionable insights into customer needs, operational efficiency and other key business performance metrics.
Work with data owners, and design teams to assist with data-related technical issues and support their data infrastructure needs.
Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery.
Keep our data separated and secure.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Optimize existing ETL process and employing a verity of data ingestion and data preparations tools, or write code such as Scala Python, and Java.
Apply Data governance rules in collaborations with information Stewards.
Manage & Maintain CDC and Data Catalogue processes.
Creating and maintaining analytical extracts.
Keep our data separated and secure.
